Reference Number
RSN23J-055095-000445
Selection Process Number
2023-RSN-EA-SPI-603162
Organization
Natural Resources Canada
Year
2023-2024
Days Open
14
Classification
City
Quebec
Type
External
Total
9
Employment Equity
6
(66.7%)
Screened out
6
(66.7%)
Screened in
0
(0%)
Employment Equity 66.7% 6
Screened Out 66.7% 6
Screened In 0% 0
Women 55.6% 5
Visible minority 0% 0
Indigenous 0% 0
People with disabilities 0% 0
English 0% 0
French 0% 0
Citizens 0% 0
Permanent Residents 0% 0
We are committed to providing an inclusive and barrier-free work environment, starting with the hiring process. If you need to be accommodated during any phase of the evaluation process, please use the Contact information below to request specialized accommodation. All information received in relation to accommodation will be kept confidential.
This RAP work is supported by the Flood Hazard Identification and Mapping Program (FHIMP) of Natural Resources Canada. The successful candidate will have the opportunity to conduct research in the fields of remote sensing image processing to generate high-resolution urban land surface information for urban flood risk mapping. This RAP candidate will focus on urban land surface information extraction from multi-source Earth observation data (EO), involving traditional image processing, data fusion, and artificial intelligence methodology in remote sensing image processing applications.
The successful candidate is expected to have good experience in remote sensing Image processing, information extraction from multi-source data, artificial intelligence (Machine/Deep learning) applications, and computer programming.
In order to be considered, the candidate’s application must clearly explain how she/he meets the following essential qualifications.
Note: This position will commence in January 2024.
Positions to be filled: 1
Your résumé.
A covering letter "maximum 2000 words"
Contact information for 2 references.
A list of the courses you have taken as well as any courses that you are taking now, or that you will be taking this academic year
Education:
• Currently enrolled or eligible to enroll in a Ph.D. program in Institut national de la recherche scientifique (INRS), Centre Eau Terre Environnement (ETE), a French post-graduate university in Quebec.
• A minimum Master of Science degree and study/fieldwork experience related to geosciences, such as Geomatics, Computer Science, Earth Sciences.
Experience:
• Experience in analyzing and understanding geospatial data.
• Experience in computer program development
• Experience in remote sensing image processing (optical, SAR, and Lidar).
• Experience in conducting literature reviews and summarizing information.
• Experience in writing research reports and making scientific presentations.
English or French
Information on language requirements
Knowledge:
• Computer programming using open-source technologies
• Knowledge of remote sensing image processing and information extraction
• Knowledge of data processing from multi-sensor sources
Competencies:
• Interactive communication
• Initiative
• Research report writing skills.
Natural Resources Canada is committed to establishing and maintaining a representative workforce. This organizational need may be identified as part of the appointment decision. In such cases, qualified candidates who self-declare as members of a visible minority group, Indigenous peoples, persons with disabilities or women (in non-traditional occupations) could be considered in priority.
Reliability Status security clearance
The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve. We promote employment equity and encourage you to indicate if you belong to one of the designated groups when you apply.
Information on employment equity
We thank all those who apply. Only those selected for further consideration will be contacted.